Record & stream your show in a realistic virtual studio Discussion | Link

Sony hinted in a recent Q&A with investors that the next generation PlayStation will offer some kind of experience that lets you play games outside of your living room. Here's the relevant portion from the transcript, emphasis mine: Q: How can you bring back to the PlayStation platform users who migrated to gaming PCs during […]

The first app dedicated to 1980s tape-edit effects. Discussion | Link

Sony has been scaling down its digitial store for a few years.

Xbox union members argue for transparency and good-faith bargaining.

Kobo users can now automatically sync their reading progress to StoryGraph, making it easier to track books, reading stats, and challenges without relying on Amazon’s Goodreads.

With today’s scientific tools, the problem could have been spotted in the 1950s.

OpenAI is releasing some sort of device related to its AI-powered coding tool, Codex, on July 15th. In a video posted to X on Monday, OpenAI shows a square-shaped device with several buttons, alongside the caption, "Your favorite Codex shortcuts are getting an upgrade." This isn't the mysterious AI-powered device OpenAI is working on with […]

The Database resource in Oracle Cloud Infrastructure Database service provides an optional auto_backup_window option in its API during creation ( Terraform resource: oci_database_database ). The database resource can be used in an OCI Base DB system or Exadata Cloud VM Cluster pluggable database (PDB) for example. The time window enum value selected for initiating automatic backup for the database system is available in twelve two-hour UTC time windows as the following: Slot Description SLOT_ONE 12:00AM - 2:00AM UTC SLOT_TWO 2:00AM - 4:00AM UTC SLOT_THREE 4:00AM - 6:00AM UTC SLOT_FOUR 6:00AM - 8:00AM UTC SLOT_FIVE 8:00AM - 10:00AM UTC SLOT_SIX 10:00AM - 12:00PM UTC SLOT_SEVEN 12:00PM - 2:00PM UTC SLOT_EIGHT 2:00PM - 4:00PM UTC SLOT_NINE 4:00PM - 6:00PM UTC SLOT_TEN 6:00PM - 8:00PM UTC SLOT_ELEVEN 8:00PM - 10:00PM UTC SLOT_TWELVE 10:00PM - 12:00AM UTC Timezone used for the slots is always UTC regardless of the timezone used in the database. For example, if the user selects SLOT_TWO from the enum list, the automatic backup job will start in between 2:00 AM (inclusive) to 4:00 AM (exclusive) If no option is selected, a start time between 12:00 AM to 7:00 AM in the region of the database is automatically chosen. Reference Terraform resource: oci_database_database OCI API Reference: Database DbBackupConfig Safe harbor statement The information provided on this channel/article/story is solely intended for informational purposes and cannot be used as a part of any contractual agreement. The content does not guarantee the delivery of any material, code, or functionality, and should not be the sole basis for making purchasing decisions. The postings on this site are my own and do not necessarily reflect the views or work of Oracle or Mythics, LLC. This work is licensed under a Creative Commons Attribution 4.0 International License (CC-BY 4.0) .

In November 2025, an engineering team deployed a market research pipeline using four LangChain agents. Due to a logic failure, the "Analyzer" and "Verifier" agents got stuck in a recursive ping-pong loop. Because every individual API call was perfectly valid, the system appeared healthy on their dashboards. 11 days later, they discovered a $47,000 API bill . This is the hidden cost of building autonomous AI: infinite hallucination loops . When an agent encounters an error or fails to reach a termination condition, it will ruthlessly retry, burning through tokens in milliseconds. Why Built-in Controls Fail If you build with LangChain or LangGraph, you are likely relying on two things for cost control: max_iterations : An application-layer limit. LangSmith : An observability dashboard. The problem with max_iterations is that it requires every developer to perfectly hardcode it into every agent. Furthermore, iterations do not equal cost, a single iteration with massive context bloat can still cost a fortune. The problem with LangSmith (and all observability tools) is that they act as a witness, not a circuit breaker. By the time your dashboard alerts you that a spike occurred, the money is already gone. To safely deploy agents to production, you need Agent Runtime Governance , a network-layer firewall that physically drops the HTTP request the exact millisecond a budget hits zero. Enter Loopers . What is Loopers? Loopers is an open-source, baremetal reverse proxy for AI agents. It sits on your critical path between LangChain and your LLM provider (OpenAI, Anthropic, etc.). It uses atomic Redis Lua scripts to reserve budget before the request is sent to the provider. If the agent exceeds its budget, Loopers fails closed and instantly severs the connection, guaranteeing zero budget leakage. Here is how to implement Loopers into your LangChain workflow in less than 5 minutes. Step 1: Spin up the Loopers Firewall Loopers is incredibly lightweight (~40MB RAM) and runs via D

You add an enum to an entity, slap @Enumerated on it, and move on. Five seconds. It is the kind of decision nobody writes a design doc for. Then six months later a row comes back as SHIPPED when it was PAID , no exception was thrown, no query failed, and you spend an afternoon learning that the default you never thought about has been silently rewriting history. Here is the order lifecycle we will use the whole way through: public enum OrderStatus { PENDING , PAID , SHIPPED , DELIVERED } Five ways to store it. They are not equivalent, and the gap between them only shows up under change. @Enumerated(ORDINAL): store the position This is the default. Leave the annotation bare and JPA stores the enum's ordinal, its index in the declaration order. @Enumerated ( EnumType . ORDINAL ) private OrderStatus status ; PENDING is 0, PAID is 1, SHIPPED is 2, DELIVERED is 3. The column is a tidy little smallint . Everything works. Until someone needs a new status and adds it where it reads well: public enum OrderStatus { PENDING , PAID , CANCELLED , // inserted here SHIPPED , DELIVERED } CANCELLED is now 2. SHIPPED is 3. DELIVERED is 4. Every row written before this change still holds the old integer, so every order that was SHIPPED (2) now reads back as CANCELLED . The database is correct. Your data is wrong. And nothing told you. If you are stuck with ORDINAL on a legacy schema, pin it with a test that fails the build the moment someone reorders: @Test void ordinalsAreFrozen () { assertEquals ( 0 , OrderStatus . PENDING . ordinal ()); assertEquals ( 1 , OrderStatus . PAID . ordinal ()); assertEquals ( 2 , OrderStatus . SHIPPED . ordinal ()); assertEquals ( 3 , OrderStatus . DELIVERED . ordinal ()); } New constants may only be appended. The test turns an invisible runtime corruption into a loud compile-time-ish failure. It is a guardrail, not a fix. @Enumerated(STRING): store the name Store the constant name instead of its position. @Enumerated ( EnumType . STRING ) private OrderS

The US Supreme Court has surprisingly decided to restrict geofence warrants.